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/aliyun-qvq

Use when visual reasoning is needed with Alibaba Cloud Model Studio QVQ models, including step-by-step image reasoning, chart analysis, and visually grounded problem solving.

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alicloud-skills
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Install
$ npx -y skills add cinience/alicloud-skills --skill aliyun-qvq --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/aliyun-qvq

Context preview

The summary Claude sees to decide when to auto-load this skill.

Use when visual reasoning is needed with Alibaba Cloud Model Studio QVQ models, including step-by-step image reasoning, chart analysis, and visually grounded problem solving.

SKILL.md

aliyun-qvq.SKILL.md
name: aliyun-qvq
description: Use when visual reasoning is needed with Alibaba Cloud Model Studio QVQ models, including step-by-step image reasoning, chart analysis, and visually grounded problem solving.
version: 1.0.0

Category: provider

Model Studio QVQ Visual Reasoning

Validation

mkdir -p output/aliyun-qvq
python -m py_compile skills/ai/multimodal/aliyun-qvq/scripts/prepare_qvq_request.py && echo "py_compile_ok" > output/aliyun-qvq/validate.txt

Pass criteria: command exits 0 and `output/aliyun-qvq/validate.txt` is generated.

Critical model names

Use one of these exact model strings:

  • `qvq-plus`
  • `qvq-max`

Typical use

  • Mathematical reasoning from screenshots
  • Diagram and chart reasoning
  • Visually grounded multi-step problem solving

Quick start

python skills/ai/multimodal/aliyun-qvq/scripts/prepare_qvq_request.py \
  --output output/aliyun-qvq/request.json

Notes

  • Use `skills/ai/multimodal/aliyun-qwen-vl/` for standard image understanding.
  • Use QVQ when the task explicitly needs stronger reasoning over visual evidence.

References

  • `references/sources.md`
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